Spinal Cord MRI Segmentation Techniques and Algorithms: A Survey
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42979-021-00618-4.pdf
Reference51 articles.
1. Garg S, Bhagyashree SR. Detection and classification of tumours using medical imaging techniques: a survey. In: Balaji S, Rocha Á, Chung YN. (eds) Intelligent Communication Technologies and Virtual Mobile Networks. ICICV 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 33. Springer, Cham (2020)
2. Losseff NA, Webb SL, O’Riordan JI, Page R, Wang L, Barker GJ, Tofts PS, McDonald WI, Miller DH, Thompson AJ. Spinal cord atrophy and disability in multiple sclerosis. A new reproducible and sensitive MRI method with potential to monitor disease progression. Brain. 1996;119(3):701–8.
3. Despotovic I, Goossens B, Philips W. MRI segmentation of the human brain: challenges, methods, and applications. Comput Math Methods Med. 2015;2015:450341.
4. Chen M, Carass A, Oh J, Nair G, Pham DL, Reich DS, Prince JL. Automatic magnetic resonance spinal cord segmentation with topology constraints for variable fields of view. Neuroimage. 2013; 83:1051–62. https://doi.org/10.1016/j.neuroimage.2013.07.060(Epub 2013 Aug 6. PubMed PMID: 23927903; PubMed Central PMCID: PMC3823375)
5. Gros C, De Leener B, Badji A, Maranzano J, Eden D, Dupont SM, Cohen-Adad J. Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks. Neuroimage. 2019;184:901–15. https://doi.org/10.1016/j.neuroimage.2018.09.081.
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. An effective U-Net and BiSeNet complementary network for spine segmentation;Biomedical Signal Processing and Control;2024-03
2. Improving Efficiency of Spinal Cord Image Segmentation Using Transfer Learning Inspired Mask Region-Based Augmented Convolutional Neural Network;Lecture Notes in Networks and Systems;2024
3. Fully automated axial plane segmentation of cervical spinal cord using U-Net in MR scans;2023 7th International Symposium on Innovative Approaches in Smart Technologies (ISAS);2023-11-23
4. Comparison of machine learning algorithms for the classification of spinal cord tumor;Irish Journal of Medical Science (1971 -);2023-08-19
5. Design of an Efficient Bioinspired Multidomain Feature Processing Model for Identification of Spinal Cord Tumours via Convolutional Networks;2023 IEEE World Conference on Applied Intelligence and Computing (AIC);2023-07-29
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3